Marcell Nagy

Senior Data Scientist

Madrid, Community of Madrid, Spain
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Summary

👤
Senior
🎓
Top School
Marcell Nagy is a Senior Data Scientist with 7 years of experience and a PhD in network and data science, blending strong mathematical rigour with practical ML engineering across academia and industry. He has led applied research and R&D projects in anomaly detection, LLM-enabled systems (including RAG pipelines and semantic chunking), educational analytics, and medical AI, collaborating with partners like Nokia Bell Labs and Translational Medicine. Marcell has a track record of mentoring junior researchers, building production-facing tools (FastAPI, Streamlit), and contributing to curriculum and institute-level initiatives in health data science. His Fulbright research at Indiana University and work on the Human Reference Atlas highlight a rare intersection of network science and biomedical applications. Based in Madrid and currently at INSUS, he combines interpretability-first modeling with time-series and NLP expertise to turn complex, noisy data into actionable insights.
code7 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD, Network science and data science, 100% - summa cum laude, Doctor of Philosophy - PhD, Network science and data science, 100% - summa cum laude at Budapest University of Technology and Economics
bookFulbright Visiting Student Researcher, Network Science & Data Science, Fulbright Visiting Student Researcher, Network Science & Data Science at Indiana University Bloomington
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Github Skills (12)

shapley10
shap10
gradient-boosting10
machine-learning9
deep-learning9
machine-learning-models8
algorithms7
synthetic6
python5
interpretable-machine-learning5
measurement5
complex-networks4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:1 PR, 57 pushes, 1 branch in 2 years 7 months
Contributions:39 commits, 38 pushes, 1 branch in 2 years 2 months
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